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Load-Shifting Strategies for Cost-Effective Emission Reductions at Wastewater Facilities
被引:1
|作者:
Chapin, Fletcher T.
[1
]
Wettermark, Daly
[1
]
Bolorinos, Jose
[1
]
Mauter, Meagan S.
[1
,2
,3
,4
,5
]
机构:
[1] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Environm Social Sci, Stanford, CA 94305 USA
[3] Stanford Univ, Woods Inst Environm, Stanford, CA 94305 USA
[4] Stanford Univ, Precourt Inst Energy, Stanford, CA 94305 USA
[5] SLAC Natl Accelerator Lab, Photon Sci, Menlo Pk, CA 94025 USA
关键词:
wastewater;
energy flexibility;
electricity;
climate;
multiobjective optimization;
loadshifting;
TREATMENT-PLANT;
ENERGY;
SLUDGE;
OPTIMIZATION;
CHALLENGES;
OPERATION;
D O I:
10.1021/acs.est.4c09773
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Significant hourly variation in the carbon intensity of electricity supplied to wastewater facilities introduces an opportunity to lower emissions by shifting the timing of their energy demand. This shift could be accomplished by storing wastewater, biogas from sludge digestion, or electricity from on-site biogas generation. However, the life cycle emissions and cost implications of these options are not clear. We present a multiobjective optimization framework for comparing cost- and emission-minimizing load-shifting strategies at a California case study facility with a relatively low carbon intensity grid and high spread in peak and off-peak electricity prices. We evaluate cost and emission trade-offs from the optimal flexible operation of both existing infrastructure and optimally sized energy flexibility upgrades. We estimate energy-related emission reductions of up to 9.0% with flexible operation of existing infrastructure and up to 16.8% with optimally sized storage upgrades. Only a fraction of these potential savings are realized under actual industrial energy tariffs and the EPA's recommended social cost of carbon. Energy flexibility may hold promise as a short-term emission-saving solution for the wastewater sector, but the extent of savings is heavily dependent on the cost of carbon, electricity tariffs, and emission intensity of the regional electricity grid.
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页码:2285 / 2294
页数:10
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